Research & Teaching

Research, thesis and courses I teach

PhD candidate and AI research engineer at the Faculty of Automatic Control and Computers, and teaching assistant for two courses.

PhD thesis

PhD Candidate, Faculty of Automatic Control and Computers, National University of Science and Technology POLITEHNICA Bucharest, Apr 2024 - Jul 2028

PhD Research: DevOps, MLOps and AIOps

Doctoral research on DevOps, MLOps and AIOps, VR game development for patients with medical conditions, and the development of an AI platform running on an AI training and inference server that I administer.

GitLab CI/CDMLOpsKubernetesMachine learningUnityVR / XRLinuxDocker

Research projects (6)

hub

HRIA: Romanian Artificial Intelligence Hub

AI Research Engineer, National University of Science and Technology POLITEHNICA Bucharest, Apr 2026 - Present

National AI research and development initiative. I cover the full lifecycle of AI systems: model research and training, algorithm optimisation, CI/CD for ML workloads, training/inference infrastructure and MLOps practices.

Project pageWebsite

projectEuropean Union (Horizon 2020)

Sound of Vision

Software Developer & DevOps Engineer, ACS-UPB, Apr 2024 - Present

Real-time detection and audio-haptic feedback for visually impaired users: detection models, spatial audio, a wireless haptic belt and a GPU edge cluster on NVIDIA Jetson.

Project pageWebsite

project

TRAVEE: VR neuro-rehabilitation platform

Software Developer with DevOps, ACS-UPB, Jun 2025 - Present

Immersive VR, real-time biofeedback (EEG, FES, haptics) and AI analytics to accelerate neuromotor recovery after stroke, in clinics and at home.

Project pageWebsite

project

GLOBE-CoP: Data Space Online Learning Platform

Full-Stack Developer & DevOps Engineer, GLOBE-STEAMSS, ACS-UPB, Jun 2025 - Present

Cloud-native, Udemy-style learning marketplace for the GLOBE community of practice: courses, live webinars, forums and recommendations on Kubernetes (EKS/GKE).

Project pageWebsite

project

GREENUS: Learning and certification platform for Greenus ambassadors

Full-Stack Developer & DevOps Engineer, GLOBE-STEAMSS, ACS-UPB, Oct 2025 - Present

Digital learning, evaluation and certification platform for Greenus ambassadors: structured learning paths, assessments, digital badges and community features.

Project pageWebsite

projectEuropean Space Agency (ESA)

ROSPIN-SAT-1: ESA Fly Your Satellite! Design Booster

Full-Stack Developer & DevOps Engineer, Romanian Space Initiative (ROSPIN), May 2023 - Nov 2025

Software, infrastructure and quality strategy for a CubeSat on-board computer: layered RTOS firmware, embedded CI/CD, hardware-in-the-loop benches and telemetry anomaly detection.

Project pageWebsite

Teaching (2)

MScTeaching Assistant

Intelligent Image Processing

Faculty of Automatic Control and Computers (ACS), National University of Science and Technology POLITEHNICA Bucharest (UNSTPB), Jan 2026 - Present

  • Image processing and computer vision
  • Machine learning and deep learning for image analysis
  • Convolutional neural networks (CNNs)
  • GPU acceleration and parallel computing with CUDA

Master's course combining theoretical foundations with hands-on implementation of intelligent image-analysis systems, focused on modern machine learning and deep learning applied to image processing and computer vision.

  • Laboratory sessions and practical tutorials.
  • Guiding students in designing and implementing ML-based image-processing pipelines.
  • Supporting student projects on real-world image datasets.
  • Evaluating lab work, projects and examinations.
PythonOpenCVTensorFlowKerasCUDAMachine learningComputer vision
BScTeaching Assistant

Software Engineering

Faculty of Automatic Control and Computers (ACS), National University of Science and Technology POLITEHNICA Bucharest (UNSTPB), Jan 2026 - Present

  • Software development life cycle (SDLC)
  • Object-oriented programming
  • Version control with Git
  • Design patterns and software architecture principles
  • Testing and debugging fundamentals
  • Agile methodologies (Scrum basics)

Bachelor's course introducing students to building reliable, maintainable and efficient software systems through a mix of theory and hands-on development.

  • Laboratory sessions and practical programming tutorials.
  • Helping students master core software-engineering concepts and coding practices.
  • Supporting individual and team-based development projects.
  • Evaluating assignments, lab work and examinations.
GitObject-oriented programmingTestingAgile / Scrum